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Coupling BCM and Neural Fields for the Emergence of Self-organization Consensus

  • Mathieu Lefort
  • Yann Boniface
  • Bernard Girau
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 718)

Abstract

Human beings interact with the environment through different modalities, i.e. perceptions and actions, processed in the cortex by dedicated brain areas. These areas are self-organized, so that spatially close neurons are sensitive to close stimuli, providing generalization from previously learned examples. Although perceptive flows are picked up by different spatially separated sensors, their processings are not isolated. On the contrary, they are constantly interacting, as illustrated by the McGurk effect. When the auditory stimulus /ba/ and the /ga/ lip movement are presented simultaneously, people perceive a /da/, which does not correspond to any of the stimuli. Merging several stimuli into one multimodal perception reduces ambiguities and noises and is essential to interact with the environment. This article proposes a model for modality association, inspired by the biological properties of the cortex. The model consists of modality maps interacting through an associative map to raise a consistent multimodal perception of the environment. We propose the coupling of BCM learning rule and neural maps to obtain the decentralized and unsupervised self-organization of each modal map influenced by the multisensory context. We obtain local self-organization of modal maps with various inputs and discretizations.

Keywords

Long Term Potentiation Spatial Competition Current Perception Sensory Layer Cortical Column 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.LORIAVandoeuvre-lès-Nancy CedexFrance
  2. 2.INRIA/LORIA LaboratoryCampus ScientifiqueVandoeuvre-lès-Nancy CedexFrance

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